Build changes

• Add libtext and libvision build rules
• Add lib targets for all C vision tasks

Framework and core calculator improvements

• Added files for the Image Embedder C API and tests
• Pass Model Asset Buffer as byte array + length
• Drop default arguments in C API
• Updated the Image Embedder C API and added tests for cosine similarity
• Drop default arguments in Image Embedder C API
• Remove const from input types of C API
• Resolved issues and added a common header to hold all the necessary structures for the vision tasks
• Refactor OpenCV path out of TensorsToSegmentationCalculator main file.
• Add some convenience getters to EglManager.
• Added files for the Object Detector C Tasks API
• Explicitly delete some copy operations to improve compile errors.
• Extract CPU conversion methods into a separate library & add test
• Updated components and their tests in the C Tasks API
• Ensure that releaseGl() is called if prepapreGl throws
• Adding a GpuTestWithParamBase test class to support value parameterized tests
• Added Gesture Recognizer C API and tests
• Holistic Landmarker C++ Graph
• Revised Gesture Recognizer API implementation and associated tests
• Added FreeMemory test for GestureRecognizerResult
• Refactor GestureRecognizerResult conversion for default initialization
• Move LanguageDetectorResult converter to LanguageDetector task
• Add TensorsToSegmentationCalculator test utilities.
• Added Hand Landmarker C Tasks API and tests
• Export java package for hand_roi_refinement_graph_options.
• Fix naming in different files
• Create an explicit GlRuntimeException class

MediaPipe Tasks update

This section should highlight the changes that are done specifically for any platform and don't propagate to other platforms.

Android

• Create shared utilities to construct category lists
• Create shared utilities to construct landmark lists
• Add the result class for the HolisticLandmarker Java API
• HolisticLandmarker Java API
• Add dependency on hand_roi_refinement_graph_options_proto
• Use Java Proto Lite Target for Hand ROI Refinement proto
• Move hand_roi_refinement_graph_options_java_proto_lite to vision lib

iOS

• Added iOS MPPPoseLandmarker.mm
• Added null check for segmentation masks in pose landmarker helper initializer
• Added pose landmarker protobuf utils
• Fixed graph name in iOS language detector
• Added iOS language detector tests
• Added iOS Objective C Pose Landmarker Tests
• Added iOS interactive segmenter options
• Added iOS region of interest
• Added iOS region of interest helpers
• Updated iOS vision/core to add methods for processing region of interest
• Added iOS interactive segmenter header

Javascript

• Creates GpuBuffers around pre-allocated AHardware_Buffer objects.
• Add drawConfidenceMask() to our public API
• Use gl.LINEAR interpolation for confidence masks
• Add missing export declarations to DrawingUtils

Python

• Example updated for mp.Image in documentation
• Added image classifier benchmark
• Updated copyright
• Documented the return value and added percentile to argparser
• Allowed a default value for the model argument
• Added more benchmark scripts for the Tasks Python API
• Code cleanup and revised benchmarking API
• Removed unused param

Model Maker changes

• Add option to omit the checkpoint callback in text classifier.
• Add BinaryAUC metric and Best Checkpoint callback to Text Classifier
• Remove batch dimension from the output of tflite_with_tokenizer in text classifier.